Overview
- Features an innovative and state-of-the-art book on applied Partial Order Theory
- Includes applications and examples from several research fields, from multi-criteria decision-making, to socio-economic and environmental sciences
- A section is devoted to software packages for the analysis of partially ordered data
Buy print copy
About this book
Partial Order Concepts in Applied Sciences presents new theoretical and methodological developments in partial order for data analysis, together with a wide range of applications to different topics: multidimensional poverty, economic development, inequality measurement, ecology and pollution, and biology, to mention a few. The book is of interest for applied mathematicians, statisticians, social scientists, environmental scientists and all those aiming at keeping pace with innovation in this interesting, growing and promising research field.
Similar content being viewed by others
Keywords
Table of contents (20 chapters)
-
Theoretical and Methodological Advances
-
Partial Order Theory in Socio-economic Sciences
-
Partial Order Theory in Environmental Sciences
Editors and Affiliations
About the editors
Rainer Brüggemann has studied chemistry in the Ludwig-Maximilians University Munich (LMU) and received his PhD at LMU, in quantum chemistry.
After a time as post doc working about spectroscopical issues he joined a group, performing risk assessment studies with respect to nuclear waste disposal sites (Technical University in Berlin). Position in the Helmholtz-Center Munich (former: GSF - National Research Center for Environment and Health). There he was one of the authors of the evaluation software code for chemicals "E4CHEM".
Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin. Together with Prof. Steinberg an award concerning their work in limnology
Now, retired, he is working mainly about partial order and its applications.
Bibliographic Information
Book Title: Partial Order Concepts in Applied Sciences
Editors: Marco Fattore, Rainer Bruggemann
DOI: https://doi.org/10.1007/978-3-319-45421-4
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-45419-1Published: 27 December 2016
Softcover ISBN: 978-3-319-83289-0Published: 07 July 2018
eBook ISBN: 978-3-319-45421-4Published: 22 December 2016
Edition Number: 1
Number of Pages: XI, 307
Number of Illustrations: 61 b/w illustrations, 26 illustrations in colour
Topics: Math. Appl. in Environmental Science, Statistics for Social Sciences, Humanities, Law, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences